Highlights
- Mammograms can sometimes yield false-positive results, increasing unnecessary biopsies and financial burden.
- The new artificial intelligence (AI) software accurately interprets mammogram and predicts breast cancer results efficiently.
- The AI software reviews records in a short time by scanning patient charts, collecting diagnostic features and correlating mammogram findings with breast cancer sub-type.
- The AI reviews over 500 records in a few hours saving over 500 physician hours.
False positive - When no cancer is present but the mammogram looks abnormal, it is called false-positive.
False negative - When the mammogram fails to detect a genuine breast change, it is called false-negative.
Researchers at Houston Methodist have developed an artificial intelligence (AI) software that interprets mammograms. It assists doctors with a quick and accurate prediction of breast cancer risk.
The new study is published in the journal Cancer. The computer software intuitively translates patient charts into diagnostic information at 30 times human speed and with 99% accuracy.
"This software intelligently reviews millions of records in a short amount of time, enabling us to determine breast cancer risk more efficiently using a patient's mammogram. This has the potential to decrease unnecessary biopsies," says Stephen T. Wong, Ph.D., P.E., chair of the Department of Systems Medicine and Bioengineering at Houston Methodist Research Institute.
Researchers used the new software to evaluate mammograms and pathology reports of 500 breast cancer patients. The software scanned patient charts, collected diagnostic features and correlated mammogram findings with breast cancer sub-type. Clinicians used results, like the expression of tumor proteins, to accurately predict each patient's probability of breast cancer diagnosis.
Currently, when mammograms fall into the suspicious category, patients are recommended for biopsies. They include a broad range of 3% to 95% of patients with cancer risk.
The Houston Methodist team hopes this artificial intelligence software will help physicians better define the percent risk of patients requiring a biopsy thus equipping doctors with a tool to decrease unnecessary breast biopsies.
Two clinicians manually reviewed 50 charts in 50-70 hours. On the other hand the AI software reviewed 500 charts in a few hours, saving over 500 physician hours.
"Accurate review of this many charts would be practically impossible without AI," says Wong.
Source-Medindia